QAQ: Quality Adaptive Quantization for LLM KV Cache
☆55Mar 27, 2024Updated 2 years ago
Alternatives and similar repositories for QAQ-KVCacheQuantization
Users that are interested in QAQ-KVCacheQuantization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆425Nov 20, 2025Updated 8 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Mar 15, 2024Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆432Aug 13, 2024Updated 2 years ago
- Keyformer proposes KV Cache reduction through key tokens identification and without the need for fine-tuning☆58Mar 26, 2024Updated 2 years ago
- ☆47Nov 25, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official Implementation of "Learning to Refuse: Towards Mitigating Privacy Risks in LLMs"☆10Dec 13, 2024Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆184Jul 12, 2024Updated 2 years ago
- ☆30Jul 22, 2024Updated 2 years ago
- triton ver of gqa flash attn, based on the tutorial☆12Aug 4, 2024Updated 2 years ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆529Aug 1, 2024Updated 2 years ago
- Paper list for accleration of transformers☆14Jul 1, 2023Updated 3 years ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆400Jul 10, 2025Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆156Dec 4, 2024Updated last year
- ACL 2023☆39Jun 6, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆37Oct 10, 2024Updated last year
- [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆24Oct 5, 2024Updated last year
- ☆129Jan 22, 2024Updated 2 years ago
- ☆15Jun 26, 2024Updated 2 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Apr 15, 2024Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆345Jul 2, 2024Updated 2 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Jun 29, 2023Updated 3 years ago
- Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. Arxiv, 2024.☆16Oct 28, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Butler 是一个用于自动化服务管理和任务调度的工具项目。☆17Updated this week
- ☆329Jul 10, 2025Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆161Feb 20, 2025Updated last year
- ☆19Jun 21, 2025Updated last year
- Multi-Layer Key-Value sharing experiments on Pythia models☆34Jun 14, 2024Updated 2 years ago
- Nsight Systems In Docker☆21Dec 21, 2023Updated 2 years ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆153Aug 9, 2024Updated 2 years ago
- [COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding☆281Aug 31, 2024Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆72Mar 7, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆176Nov 26, 2025Updated 8 months ago
- ☆12Aug 26, 2022Updated 3 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆328Mar 4, 2025Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆106May 22, 2023Updated 3 years ago
- [NeurIPS 2025] Official PyTorch implementation for the paper AutoJudge: Judge Decoding Without Manual Annotation☆21Dec 22, 2025Updated 7 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆44Aug 14, 2024Updated last year
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Jul 17, 2024Updated 2 years ago